An Improved Perceptual MBSS Noise Reduction with an SNR-Based VAD for a Fully Operational Digital Hearing Aid

Zhaoyang GUO; Xin'an WANG; Bo WANG; Shanshan YONG

doi:10.1587/transinf.2016EDP7484

An Improved Perceptual MBSS Noise Reduction with an SNR-Based VAD for a Fully Operational Digital Hearing Aid

Zhaoyang GUO, Xin'an WANG, Bo WANG, Shanshan YONG

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This paper first reviews the state-of-the-art noise reduction methods and points out their vulnerability in noise reduction performance and speech quality, especially under the low signal-noise ratios (SNR) environments. Then this paper presents an improved perceptual multiband spectral subtraction (MBSS) noise reduction algorithm (NRA) and a novel robust voice activity detection (VAD) based on the amended sub-band SNR. The proposed SNR-based VAD can considerably increase the accuracy of discrimination between noise and speech frame. The simulation results show that the proposed NRA has better segmental SNR (segSNR) and perceptual evaluation of speech quality (PESQ) performance than other noise reduction algorithms especially under low SNR environments. In addition, a fully operational digital hearing aid chip is designed and fabricated in the 0.13 µm CMOS process based on the proposed NRA. The final chip implementation shows that the whole chip dissipates 1.3 mA at the 1.2 V operation. The acoustic test result shows that the maximum output sound pressure level (OSPL) is 114.6 dB SPL, the equivalent input noise is 5.9 dB SPL, and the total harmonic distortion is 2.5%. So the proposed digital hearing aid chip is a promising candidate for high performance hearing-aid systems.

Publication: IEICE TRANSACTIONS on Information Vol.E100-D No.5 pp.1087-1096

Publication Date: 2017/05/01

Publicized: 2017/02/17

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2016EDP7484

Type of Manuscript: PAPER

Category: Speech and Hearing

Authors

Zhaoyang GUO
  Peking University,Peking University Shenzhen Graduate school
Xin'an WANG
  Peking University,Peking University Shenzhen Graduate school
Bo WANG
  Peking University Shenzhen Graduate school
Shanshan YONG
  Peking University Shenzhen Graduate school

Keyword

digital hearing aid, noise reduction, multiband spectral subtraction, voice activity detection

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Zhaoyang GUO, Xin'an WANG, Bo WANG, Shanshan YONG, "An Improved Perceptual MBSS Noise Reduction with an SNR-Based VAD for a Fully Operational Digital Hearing Aid" in IEICE TRANSACTIONS on Information, vol. E100-D, no. 5, pp. 1087-1096, May 2017, doi: 10.1587/transinf.2016EDP7484.
Abstract: This paper first reviews the state-of-the-art noise reduction methods and points out their vulnerability in noise reduction performance and speech quality, especially under the low signal-noise ratios (SNR) environments. Then this paper presents an improved perceptual multiband spectral subtraction (MBSS) noise reduction algorithm (NRA) and a novel robust voice activity detection (VAD) based on the amended sub-band SNR. The proposed SNR-based VAD can considerably increase the accuracy of discrimination between noise and speech frame. The simulation results show that the proposed NRA has better segmental SNR (segSNR) and perceptual evaluation of speech quality (PESQ) performance than other noise reduction algorithms especially under low SNR environments. In addition, a fully operational digital hearing aid chip is designed and fabricated in the 0.13 µm CMOS process based on the proposed NRA. The final chip implementation shows that the whole chip dissipates 1.3 mA at the 1.2 V operation. The acoustic test result shows that the maximum output sound pressure level (OSPL) is 114.6 dB SPL, the equivalent input noise is 5.9 dB SPL, and the total harmonic distortion is 2.5%. So the proposed digital hearing aid chip is a promising candidate for high performance hearing-aid systems.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2016EDP7484/_p

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@ARTICLE{e100-d_5_1087,
author={Zhaoyang GUO, Xin'an WANG, Bo WANG, Shanshan YONG, },
journal={IEICE TRANSACTIONS on Information},
title={An Improved Perceptual MBSS Noise Reduction with an SNR-Based VAD for a Fully Operational Digital Hearing Aid},
year={2017},
volume={E100-D},
number={5},
pages={1087-1096},
abstract={This paper first reviews the state-of-the-art noise reduction methods and points out their vulnerability in noise reduction performance and speech quality, especially under the low signal-noise ratios (SNR) environments. Then this paper presents an improved perceptual multiband spectral subtraction (MBSS) noise reduction algorithm (NRA) and a novel robust voice activity detection (VAD) based on the amended sub-band SNR. The proposed SNR-based VAD can considerably increase the accuracy of discrimination between noise and speech frame. The simulation results show that the proposed NRA has better segmental SNR (segSNR) and perceptual evaluation of speech quality (PESQ) performance than other noise reduction algorithms especially under low SNR environments. In addition, a fully operational digital hearing aid chip is designed and fabricated in the 0.13 µm CMOS process based on the proposed NRA. The final chip implementation shows that the whole chip dissipates 1.3 mA at the 1.2 V operation. The acoustic test result shows that the maximum output sound pressure level (OSPL) is 114.6 dB SPL, the equivalent input noise is 5.9 dB SPL, and the total harmonic distortion is 2.5%. So the proposed digital hearing aid chip is a promising candidate for high performance hearing-aid systems.},
keywords={},
doi={10.1587/transinf.2016EDP7484},
ISSN={1745-1361},
month={May},}

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TY - JOUR
TI - An Improved Perceptual MBSS Noise Reduction with an SNR-Based VAD for a Fully Operational Digital Hearing Aid
T2 - IEICE TRANSACTIONS on Information
SP - 1087
EP - 1096
AU - Zhaoyang GUO
AU - Xin'an WANG
AU - Bo WANG
AU - Shanshan YONG
PY - 2017
DO - 10.1587/transinf.2016EDP7484
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2017
AB - This paper first reviews the state-of-the-art noise reduction methods and points out their vulnerability in noise reduction performance and speech quality, especially under the low signal-noise ratios (SNR) environments. Then this paper presents an improved perceptual multiband spectral subtraction (MBSS) noise reduction algorithm (NRA) and a novel robust voice activity detection (VAD) based on the amended sub-band SNR. The proposed SNR-based VAD can considerably increase the accuracy of discrimination between noise and speech frame. The simulation results show that the proposed NRA has better segmental SNR (segSNR) and perceptual evaluation of speech quality (PESQ) performance than other noise reduction algorithms especially under low SNR environments. In addition, a fully operational digital hearing aid chip is designed and fabricated in the 0.13 µm CMOS process based on the proposed NRA. The final chip implementation shows that the whole chip dissipates 1.3 mA at the 1.2 V operation. The acoustic test result shows that the maximum output sound pressure level (OSPL) is 114.6 dB SPL, the equivalent input noise is 5.9 dB SPL, and the total harmonic distortion is 2.5%. So the proposed digital hearing aid chip is a promising candidate for high performance hearing-aid systems.
ER -